In-Depth Behavior Modeling of Transportation Networks: Description and Preliminary Results of a Subway Network Model

Abstract

This paper describes the conceptual ideas behind a computer-aided microsimulation model combining agent-based modeling and discrete event simulation in order to reproduce the complex behavior of a fictitious subway system. Such a model allows passengers to be both active and passive agents behaving according to the model rules, and also affecting them in return, for more realistic results. Decision support in this network can be approached from both the passenger and the network operator perspective, by correctly predicting ridership and system delays. Preliminary results are presented, together with some of the challenges faced throughout the development process.